A Simple and Affordable Path to Speed of Thought Analytics

Bernie is currently Director, Strategy and Marketing, Database Software & Systems for IBM Information Management. He has held various engineering, business development, strategy and marketing roles at IBM over 27 years.

Andrew Juarez

Lead SAP Basis / DBA

Coca Cola Bottling Co. Consolidated

Andrew Juarez

Andrew has 16+ years of SAP experience, 12 yrs. running on Oracle and 4+ yrs. running on DB2. He has presented at SAP TechEd, Sapphire, Information on Demand and other events. He is the current President of the DB2 Technical Leadership Exchange (TLE).

Bob Friske

Power Systems Global Marketing

IBM

Bob Friske

Bob Friske has almost three decades of experience with IBM, half of that time as an IBM Marketing Manager and half as an IBM customer working for one of the big three auto companies in Michigan. Since joining IBM, Bob has worked for both IBM Storage Systems and IBM Power Systems helping the brands bring smarter computing solutions to market that help clients reduce costs, enable new workloads, and deliver exceptional client experience.

The rise of Mobile, Social and Big Data aren't simply remaking computing, they are remaking businesses. Yet dramatic increases in volume, velocity, variety, and veracity of data challenge many companies as they adapt their SAP environment to glean better insights to improve the business results.

The difference between surviving and thriving the Big Data challenge depends on:

How seamlessly you manage the onslaught of data and minimize disruption

How quickly you can turn data into insights

And how to achieve this within your budget

Attend this webinar to learn:

How to use big data & analytics to gain a competitive advantage over your industry peers

Platform considerations to best leverage the power of this Big Data transformation

Overview of IBM DB2 with BLU Acceleration and how you can leverage it to transform your business

How DB2 and BLU Acceleration further exploits the IBM Power Systems™ advantages to push beyond the limits of memory-only solutions